David Dubbeldam
University of Amsterdam
Publications
Review of group contribution methods for prediction of thermodynamic properties of long-chain hydrocarbons
Ziyan Li, Leonidas Constantinou, Richard Baur, David Dubbeldam, Sofia Calero, Shrinjay Sharma, Thijs Vlugt
Machine Learning-Based Predictions of Henry Coefficients for Long-Chain Alkanes in One-Dimensional Zeolites: Application to Hydroisomerization
Shrinjay Sharma, Ping Yang, Yachan Liu, Kevin Rossi, Peng Bai, Marcello S. Rigutto, Erik Zuidema, Umang Agarwal, Richard Baur, Sofia Calero, David Dubbeldam, Thijs J.H. Vlugt*
Second-order group contribution method for Tc, Pc, ω, ΔGf0, ΔHf0 and liquid densities of linear and branched alkanes
Ziyan Li, Leonidas Constantinou, Richard Baur, David Dubbeldam, Sofia Calero, Shrinjay Sharma, Marcello Rigutto, Poulumi Dey & Thijs. J. Vlugt
Implementation of energy and force grids in molecular simulations of porous materials
Youri A. Rana, Joseph Tapia, Shrinjay Sharma, Peng Bai, Sofia Calero, Thijs J. H. Vlugt & David Dubbeldam
Prediction of Thermochemical Properties of Long-Chain Alkanes Using Linear Regression: Application to Hydroisomerization
S. Sharma, J. Sleijfer, J. op de Beek, S. van der Zeeuw, D. Zorzos, S. Lasala, M. Rigutto, E. Zuidema, U. Agarwal, R. Baur, S. Calero, D. Dubbeldam, T. Vlugt
RUPTURA: simulation code for breakthrough, ideal adsorption solution theory computations, and fitting of isotherm models
S. Sharma, M.S. Rigutto, R. Baur, U. Agarwal, E. Zuidema, S.R.G. Balestra, S. Calero, D. Dubbeldam, and T.J.H. Vlugt
Modelling of adsorbate-size dependent explicit isotherms using a segregated approach to account for surface heterogeneities
S. Sharma, M.S. Rigutto, R. Baur, U. Agarwal, E. Zuidema, S.R.G. Balestra, S. Calero, D. Dubbeldam, and T.J.H. Vlugt